Undersøgelse af bakterieantal og eftervækstpotentiale i vandværksvand

Bilag C
AOC ringtest

Vand

Der anvendes vand fra Lyngby Vandværk udtaget umiddelbart efter efterfilter.

Mandag den 7. juni 1999 udtages 20 l, 10 l, og 10 l vand i glødede glasflasker med bundhane. Flaskerne opbevares så vidt det er muligt køligt under transport tilbage til laboratoriet.

Princip

Hvert laboratorium modtager 3 prøvepar med forskellige acetat koncentrationer. VKI laver endvidere homogenitetstest på ti flasker på et af koncentrations niveauerne.

Forsøgsgang

Der produceres en opløsning af Na-acetat, 100 mg/l Acetat-C i vand fra Lyngby vandværk (Molvægt CH3COONa-3H2O, 136 g/mol indeholder 24 g C/mol). Der tilsættes 284 mg CH3COONa-3H2O til 500 ml. Opløsningen opbevares i køleskab.

20 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 880 µg KH2PO4 /20 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 200 µg P svarer til 878 µg KH2PO4). 20 l flasken tilsættes 10 ml acetat opløsning svarende til 50 µg acetat-C/l. Efter tilsætning henstår 20 l flasken ca. 15 min. for at KH2PO4 kan opløses. Herefter blandes vandet under omrøring. Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne pasteuriseres ved 60 °C i 0,5 timer.

10 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 440 µg KH2PO4 /10 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 100 µg P svarer til 439 µg KH2PO4). Efter tilsætning henstår 10 l flasken ca. 15 min. for at KH2PO4 kan opløses. Herefter blandes vandet under omrøring. Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne pasteuriseres ved 60 °C i 0,5 timer.

10 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 440 µg KH2PO4 /10 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 100 µg P svarer til 439 µg KH2PO4). 10 l flaske tilsættes 1 ml acetat opløsning svarende til 10 µg acetat-C/l. Efter tilsætning henstår 10 l flasken ca. 15 min. for at KH2PO4 kan opløses. Herefter blandes vandet under omrøring. Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne pasteuriseres ved 60 °C i 0,5 timer.

Results:

The results of the AOC-ringtest can be seen in the tables below.

Nox

AOC
Sample

µg/l

Lab

1

4

2

3

5

6

Kiwa (1)

9,56

8,78

8

7,44

3,69

3,31

2

13,73

13,9

11,97

13,5

10,49

8,26

VKI (3)

7,3

8,4

4,3

4,2

2,5

2,9

IMT (4)

7,8

7,1

5

6,1

2,8

2,2

5

8

9

11

9

3

2

 

P17

AOC
Sample

µg/l

Lab

1

4

2

3

5

6

Kiwa (1)

48,46

44,88

86,16

75,2

101,46

108,05

2

43,02

36,14

83,48

77,27

100,78

106,54

VKI (3)

55

49

113

101

143

144

IMT (4)

44,3

49,2

84,4

85,3

140,1

167,5

5

123

86

183

155

190

198

 

Sum

AOC
Sample

µg/l

Lab

1

4

2

3

5

6

Kiwa (1)

58

54

94

83

105

111

2

56,75

50,04

95,45

90,77

111,27

114,8

VKI (3)

62

57

117

105

146

147

IMT (4)

52,2

56,3

89,4

91,4

142,9

169,7

5

131

95

194

164

193

200

Statistical evaluation of the ringtest

Homogeneity

The aim of comparison of the samples at VKI was to insure that the samples distributed to other laboratories were homogenous. The samples for this analysis were sampled from the batch supposed to contain 50 µg C l-1. Conventionally a test for homogeneity is conducted as a nested analysis of variance testing the variance between the samples over the variance between within the samples. For chemical analysis the estimation of within sample variance is typically estimated on the basis of a doublet analysis within each sample. However, for the AOC analysis conducted in the present project it was not possible to conduct a double estimation and a chemical analysis based on a nested variance analysis could therefore not be carried out. As an alternative to the conventional homogeneity test the correlation between the sample time and the concentration were therefore carried out, with the aid of a nonparametric Kendal correlation analysis. For none of the AOC determinations a significant correlation was found, since the p values were 0.78 or even bigger in every case. Thus it is concluded that the samples are homogeneous.

Comparison between laboratories and AOC concentration levels

Statistical models

The aim of the analysis was to determine significant differences between the laboratories estimations of AOC and whether possible differences were dependent on the concentration level. To analysis this problem the following statistical model 1 was formulated:

Yijl = µ + Labi + Concj + Lab*Concij + el(ij), where

Yijl: Denotes the concentration of AOC at the i’th laboratory at the j’th concentration level in the l’th sample
µ: Denotes the overall average level of AOC
Labi: Denotes the contribution from the i’th laboratory
Concj: Denotes the contribution from the j’th concentration level.
Lab*Concij: Denotes the contribution from the interaction between laboratorium and concentration level
el(ij): Denotes the contribution from residual variation at the l’th sample in the i’th laboratorium at the j’th concentration level.

The model was analysed as a analysis of variance using the proc glm procdure implemented in the SAS version 6.12 software package. If the interaction between laboratory and concentration level (Lab*Concij) was significant the following statistical model 2 was applied at each concentration level:

Yij = µ + Labi + ej(i), where

Yij: Denotes the concentration of AOC at the i’th laboratory
µ: Denotes the overall average level of AOC
Labi: Denotes the contribution from the i’th laboratory
ej(j): Denotes the contribution from residual variation in the i’th laboratorium in the j’th sample.

If the contribution from laboratory was significant in model 2 Tukey test was conducted to investigate the differences between the laboratories. All statistical analysis were conducted on log transformed data, since this transformation usually full fill the assumption of normal distributed residuals and variance homogenity.

Another aim of the analysis was to investigate whether an estimate of P17 could be used instead of an estimate of NOX + P17. This hypohesis was tested with the aid of model 2 and a contrast statement in case of a significant contribution from laboratory in model 2. A contrast statement compares the average level of the NOX + P17 determinations with the level of the determination using P!7 only.

Results

For all measurements of AOC all terms in model 1 was significant (p<0.05) and detailed analysis with the aid of model 2 was therefore conducted. At all concentration levels significant differences between the laboratories were found for all strains. Thus analysis with the aid of a Tukey test was conducted. The results of the Tukey tests appear from table 1.

Table 1.
Results of the Tukey test conducted for model 2. Laboratories belonging to the same Tukey group were not significant different. The highest AOC concentrations were obtained at the laboratories belonging to Tukey group A, the second highest in Tukey group B and so on. Within each Tukey group the laboratories are written in descending order.

Strain

Acetate conc.

Tukey group

Laboratory

NOX

0

A

2

NOX

0

B

1, 5, 3, 4

 

NOX

10

A

2, 5

NOX

10

B

5, 1

NOX

10

C

1, 4

NOX

10

D

4, 3

 

NOX

50

A

2

NOX

50

B

1, 3, 4, 5

 

P17

0

A

5

P17

0

B

3, 4, 1, 2

 

P17

10

A

5

P17

10

B

3, 4, 1, 2

 

P17

50

A

5, 4

P17

50

B

4, 3

P17

50

C

1,2

 

P17+NOX

0

A

5

P17+NOX

0

B

3, 1, 4, 2

 

P17+NOX

10

A

5

P17+NOX

10

B

3, 2, 4, 1

 

P17+NOX

50

A

5, 4

P17+NOX

50

B

4, 3

P17+NOX

50

C

2, 1

  
Apparently laboratory 5 was the most deviating laboratory in the above analysis. Thus it was decided to conduct an analysis omitting this laboratory. To provide a visual impression of this analysis pie diagrams showing the variance attributable to error or background variance and the variance attributable to different sources of variation were made. The pie diagrams shows the sum of squares for the contribution form error, laboratories, concentration levels and the interaction between laboratory and concentration for each strain (figure 1 to 3). For the P17 and the NOX + P17 strain variance was mainly attributable to variation between the concentration levels. For the NOX strain the variance was mainly attributable to differences between the concentration levels and the laboratories.

Figure 1.
Pie diagram of the sum of squares obtained for the strain NOX using model 1.
   

Figure 2.
Pie diagram of the sum of squares obtained for the strain P17 using model 1.
   

Figure 3.
Pie diagram of the sum of squares obtained for the strain P17 + NOX using model 1.

Besides the above analysis the AOC determinations using P17 were compared with the AOC determinations using both NOX and P17. The analysis revealed that significant higher concentrations was obtained with the aid of NOX and P17 (<0.0001).